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CrIS RTM Error LUT Evaluation 4 CrIS RTM error estimated from radiance residuals RTM error is designated to account for the non-sensor cause of radiance mismatch between the observed and the calculated. This LUT can be tuned to improve both EDR quality and yield. Current Ops LUT Post-launch Estimate (preliminary)

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Tuning Quality Control Second-stage (IR and MW combined) retrievals are quality controlled based on chi-square values which are essentially the averaged radiance residuals normalized by the combined sensor and RTM noise errors Current chi-Square thresholds are set to 1 for IR and 2 for MW If a retrieval doesnt pass the chi-square test, the second-stage retrieval is tossed out and the first stage (MW only) retrieval is reported Examination of EDR quality vs. chi-square values indicated that the current thresholds are set too tight and, as a result, many good IR+MW retrievals are thrown away The trade study was performed based on the accuracy of the retrieved Tskin. As the threshold value increases, accuracy of the MW+IR combined retrievals decreases and eventually becomes lower than the MW only. The crossover point is the threshold when the IR retrievals are no longer good and should be replaced with MW 6

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Biases in Retrieved Surface Skin Temperature Could Indicate Needs for Further MW Tuning In the study it is also noticed, as shown in the plots on the previous chart, persistent negative biases in the MW-only retrieved surface skin temperatures No biases for IR retrieved surface skin temperatures for cloud free retrievals when MW has little impact Negative biases are observed for cloudy IR retrievals when MW is used in cloud clearing and MW has more weight on the retrievals Further investigation and tuning if necessary to remove residual biases in MW data 8

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CrIS Sensor and RTM Error LUT Update Impact on EDR Performance Second stage MW chi-square threshold set to 5 for the best balance between yield and quality Limited to warm ocean retrievals and temperature profile EDRs only Observed significant improvement over the MX6.3 baseline performance in both yield and quality –In average, yield improved from 27-30% (MX6.3) to 46-47% (proposed for MX7) –Accuracy (standard deviation) improved ~0.2K in lower troposphere 9